基于网络药理学探析远志散治疗痴呆的分子生物机制研究

Molecular Biological Mechanisms of Yuan Zhi Powder in the Treatment of Alzheimer's Disease: an Analysis Based on Network Pharmacology

  • 摘要:
    目的 采用网络药理学技术预测远志散治疗老年痴呆的主要活性成分、潜在靶点及分子作用机制。
    方法 通过数据库及文献构建远志散的化学成分库,进行反向分子对接预测潜在靶点,构建成分-靶标网络;通过与AD的靶标网络进行映射、分析,获得“有效成分-AD靶标”网络;通过网络分析筛选出关键靶点;通过与已知文献报道的靶点进行对比,分析预测靶点的合理性。
    结果 远志散各味中药共有180种化学成分作用于AD靶标,其作用靶标包括三个关键靶标(环氧酶-2、毒蕈碱型乙酰胆碱受体M1、毒蕈碱型乙酰胆碱受体M2)及一个重要靶标(乙酰胆碱酯酶)。可能通过调节乙酰胆碱受体活性及与β-淀粉样蛋白结合从而治疗阿兹海默症,其生物过程可能集中于乙酰胆碱受体信号通路、突触传递的负调节等。
    结论 远志散治疗老年痴呆符合中药多成分-多靶点-多途径的特点,网络分析所获得的重要靶点在文献研究中占有很大比例,具有一定的合理性。

     

    Abstract:
    Objective To predict the main active ingredients, potential targets and molecular mechanisms of Yuan Zhi powder in treatment of dementia by using network pharmacology.
    Methods A database of chemical constituents of Yuan Zhi powder was constructed by using databases and literatures. Potential targets were predicted by reverse molecular docking, and then a component-target network was constructed. The target network of Alzheimer's disease (AD) was mapped and analyzed to obtain the "active ingredient-AD target" network. The key targets were screened through network analysis. Finally, the rationality of the prediction was analyzed by comparing with the target reported in the literatures.
    Results There were 180 chemical constituents acting on the AD target, and the targets included three key targets (cyclooxygenase-2, muscarinic acetylcholine receptor M1, and muscarinic acetylcholine receptor M2) and an important target (acetylcholine esterase). Alzheimer's disease may be treated by regulating the activity of acetylcholine receptors and the binding to β-amyloid protein, and its biological process may be concentrated in the acetylcholine receptor signal pathway, negative regulation of synaptic transmission and so on.
    Conclusion The fact that Yuan Zhi powder can treat AD is consistent with the characteristics of multi-components-multi- targets-multiple pathways of traditional Chinese medicine. The important targets obtained from network analysis have a large proportion in literature research, so network analysis have some rationality.

     

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